An Improved Harris Corner Detection Algorithm
The traditional Harris corner detection algorithm is sensitive to noise, and Corner is prone to drift at different image resolution. Combined with the multi-scale features of wavelet transform, propose a corner detection algorithm based on the wavelet transform. The algorithm maintains the advantages of Harris corner detection algorithm in image scaling, rotation or gray scale change, improves its disadvantage of scale invariance, and has strong anti-noise and real-time performance. It has good anti-noise and real-time performance.
KeywordsCorner detection Wavelet transform Multi-scale
Project found: (1) Young teachers development and support program of Anhui Technical College of Mechanical and Electrical Engineering (project number: 2015yjzr028); (2) Anhui Quality Engineering Project “Industrial Robot Virtual Simulation Experimental Teaching Center” (project number:2016xnzx007); (3) nhui Province Quality Engineering Project “Exploration and Practice of Innovative and Entrepreneurial Talents Training Mechanism for Applied Electronic Technology Specialty in Higher Vocational Colleges” (project number:2016jyxm0196); (4) Anhui Quality Engineering Project (MOOC) “Off-line Programming of Industrial Robots” (project number:2017 mooc091).
- 1.Schimid C, Mohr R, Bauckhage C. Evaluation of interest point detectors. Int J Comput Vis. 2000;37(2):151–72.Google Scholar
- 2.Harris C, Stephens MJ. A combined corner and edge detector. In: 4th Alvey vision conference; 1988. p. 147–52.Google Scholar
- 3.Moravec HP. Towards automatic visual obstacle avoidance. Proceedings of the 5th International Joint Conference on Artificial Intelligence.1977;584–596.Google Scholar
- 5.Gobzalez RC, Woods RE. Digital image processing. 2nd ed. Bei Jing: Publishing House of Electronics Industry; 2007.Google Scholar